Visual Performance Model Analysis of Human Performance in IR Target Recognition
Abstract
This technical report describes the application of a human-visual system simulation model, a computational vision model, as a method for prediction of operator target detection or recognition performance with infrared imaging sensors. The present report correlates the simulation model's predictions with laboratory data from human observers. The eventual goal of this work is to develop a methodology that will allow reliable predictions of imaging sensor system performance without the need for repeated laboratory testing with human observers. In this report, the visual performance model (VPM) has been applied to a set of airborne, 1st generation FLIR imagery of mobile ground targets (including Scud-B mobile transporter-erector-launchers TELs). The detectability/recognizability metrics (d' values) obtained from VPM have been compared with similar laboratory data obtained using human operators. Good correlations between the VPM detectability/recognizability predictions and the human operator results were obtained during the present study (i.e., r values greater than .70). Future efforts are planned to examine VPM's utility for camouflaged targets and for 3rd generation FLIR imagery.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1998
- Accession Number
- ADA356117
Entities
People
- Allyn W. Dunstan
- Frederick J. Smith